Gene expression analysis of an epidermolysis bullosa simplex Dowling-Meara cell line by subtractive hybridization: recapitulation of cellular differentiation, migration and wound healing

2011 ◽  
Vol 21 (2) ◽  
pp. 111-117 ◽  
Author(s):  
Martin Wagner ◽  
Helmut Hintner ◽  
Johann W. Bauer ◽  
Kamil Onder
2013 ◽  
Vol 69 (1) ◽  
pp. 80-82 ◽  
Author(s):  
Mbarka Bchetnia ◽  
Tarik Farez ◽  
Jacynthe Lacroix ◽  
Georgette Leclerc ◽  
Julie Powell ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Keisuke Adachi ◽  
Yosuke Asada ◽  
Toshiaki Hirakata ◽  
Miki Onoue ◽  
Satoshi Iwamoto ◽  
...  

Abstract To clarify the early alterations of gene expression using a mouse model of glaucoma filtration surgery, we carried out microarray expression analysis. Using BALB/c mice, a filtration surgery model was made by incision of the limbal conjunctiva, followed by the insertion of a 33G needle tip into the anterior chamber, and 11-0 nylon sutures. Subgroups of mice were treated intraoperatively with 0.4 mg/ml mitomycin-C (MMC). At day 3 after surgery the bleb was maintained. The bleb region tissue was sampled 3 days after the filtration surgery, and gene expression analysis was carried out using a mouse Agilent 8 × 60 K array. We found 755 hyperexpressed transcripts in the bleb region compared to control conjunctiva. The hyperexpressed transcripts included epithelial cell metaplasia-related (Il1b, Krt16, Sprr1b), inflammation-related (Ccl2, Il6) and wound healing-related (Lox, Timp1) genes. We also found downregulation of a goblet cell marker gene (Gp2) in the bleb conjunctiva. MMC treatment suppressed elastin (Eln) gene expression and enhanced keratinization-related gene expression (Krt1, Lor) in the bleb region. Our results suggest the importance of epithelial wound healing after filtration surgery, and this filtration surgery model will be a useful tool for further pathophysiological analysis.


2006 ◽  
Vol 165 (4) ◽  
pp. 424-429 ◽  
Author(s):  
V. Chauhan ◽  
A. Mariampillai ◽  
P. V. Bellier ◽  
S. S. Qutob ◽  
G. B. Gajda ◽  
...  

2021 ◽  
Author(s):  
Lavanya not provided C ◽  
Vidya Niranjan ◽  
Aajnaa not provided Upadhyaya ◽  
Arpita not provided Guha Neogi

The Sars-CoV-2 virus is a previously uncharacterized coronavirus and causative agent of the COVID-19 pandemic. Gene expression analysis followed by pathway analysis helps researchers to find possible key targets present in biological pathways of host cells that are targeted by the SARS-CoV-2 virus. This review considers the peripheral blood mononuclear cell line (PBMC) and the normal human bronchial epithelial (NHBE) cell line, both of which support SARS-CoV-2 viral replication. Pathway analysis between the healthy and patient samples of the respective cell lines shall provide useful insights on the COVID-19 disease. Initially, the datasets from the respective cell lines were collected from the NCBI databank. These datasets underwent further analysis and were mapped and aligned to the human reference genome. This outputs the file in the BAM format. The BAM files along with the human reference genome in the GFF format were uploaded to an open-source software called OmicsBox 2.0 for differential gene expression analysis. This resulted in the generation of a table containing the differentially expressed genes which were upregulated and downregulated. These gene lists were uploaded to various pathway analyzers that map the significant genes to the most significant pathways. In this project, KOBAS 3.0 and Enrichr were used for pathway analysis. The pathways obtained from the above-mentioned pathway analyzers were further narrowed down by manual comparison. It was observed that many pathways were similar between the NHBE and PBMC cell lines. However, they were also different in terms of their overall nature. In this project, many patterns were seen through the pathways obtained, however, further optimization and functionality studies must be performed in order to establish conclusive results on the scope of the COVID-19 disease. Expanding research on the scope of the disease by going back to the basics will generate new and valuable information about the virus. This knowledge will help us combat the disease in a better and appropriate manner.


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